Data Scientist

Key Responsibilities

Data Analysis & Preparation:

Collect, clean, and preprocess large datasets from multiple FMCG sources (e.g., sales, marketing, supply chain, customer feedback).Perform exploratory data analysis (EDA) to identify trends, patterns, and key business insights.

Machine Learning & AI

Design, develop, and deploy

supervised and unsupervised learning models

(e.g., regression, classification, clustering, recommendation systems, demand forecasting).Build and fine-tune

AI-driven solutions

for market segmentation, product recommendation and sales prediction.Implement and optimize

time series forecasting

models for inventory and demand planning.

Business Insights & Reporting

Translate data insights into actionable recommendations for business stakeholders in marketing, operations, and finance.Develop

dashboards and visualizations

using Power BI, Tableau, or Python (matplotlib/seaborn/Plotly).

Cross-functional Collaboration

Work closely with business teams to define key performance indicators (KPIs) and evaluate campaign effectiveness.Partner with IT and data engineering teams to improve data pipelines and automate reporting processes.

Model Deployment & Monitoring

Deploy machine learning models using cloud platforms (AWS, Azure, or GCP).Continuously monitor and improve model accuracy, scalability, and performance.

Education

Required Skills & Qualifications:

Bachelor’s or Master’s degree in

Data Science, Computer Science, Statistics, Mathematics, or a related field

.

Technical Skills

Strong programming skills in

Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)

or

R

.Experience in

SQL

and working with large relational databases.

Good Understanding Of AI/ML Algorithms Such As

Linear/Logistic RegressionDecision Trees, Random Forest, XGBoostClustering (K-Means, DBSCAN)Neural Networks, Deep LearningTime Series Forecasting (ARIMA, Prophet, LSTM)Proficiency in

data visualization tools

(Power BI, Tableau, or Matplotlib/Seaborn).Familiarity with

cloud platforms

(Azure ML, or GCP AI Platform).

Domain Knowledge

Understanding of

FMCG business processes

, including:Consumer behavior analyticsMarket basket analysisSales and demand forecastingSupply chain optimization

Soft Skills

Strong analytical thinking and problem-solving ability.Effective communication and storytelling with data.Ability to work collaboratively with business and technical teams.

Preferred Qualifications

Experience with

A/B testing

and

marketing analytics

.Exposure to

MLOps

and version control (Git).Knowledge of

NLP or computer vision

use cases in retail/FMCG.